Produces a table printout with some summary results of the health economic evaluation.

## Usage

```
# S3 method for bcea
summary(object, wtp = 25000, ...)
```

## Arguments

- object
A

`bcea`

object containing the results of the Bayesian modelling and the economic evaluation.- wtp
The value of the willingness to pay threshold used in the summary table.

- ...
Additional arguments affecting the summary produced.

## Value

Prints a summary table with some information on the health economic output and synthetic information on the economic measures (EIB, CEAC, EVPI).

## References

Baio G, Dawid aP (2011).
“Probabilistic sensitivity analysis in health economics.”
*Stat. Methods Med. Res.*, 1--20.
ISSN 1477-0334, doi:10.1177/0962280211419832
, https://pubmed.ncbi.nlm.nih.gov/21930515/.

Baio G (2013).
*Bayesian Methods in Health Economics*.
CRC.

## Examples

```
data(Vaccine)
he <- bcea(eff, cost, interventions = treats, ref = 2)
summary(he)
#>
#> Cost-effectiveness analysis summary
#>
#> Reference intervention: Vaccination
#> Comparator intervention: Status Quo
#>
#> Optimal decision: choose Status Quo for k < 20100 and Vaccination for k >= 20100
#>
#>
#> Analysis for willingness to pay parameter k = 25000
#>
#> Expected net benefit
#> Status Quo -36.054
#> Vaccination -34.826
#>
#> EIB CEAC ICER
#> Vaccination vs Status Quo 1.2284 0.529 20098
#>
#> Optimal intervention (max expected net benefit) for k = 25000: Vaccination
#>
#> EVPI 2.4145
```